feat: Enhanced Gemini MCP server for large-scale code analysis
Major improvements: - Default model set to Gemini 1.5 Pro (more reliable than 2.5 Preview) - Added analyze_code tool for processing large files and codebases - Support for 1M token context window - File reading capabilities for automatic code ingestion - Enhanced documentation with usage examples - Added USAGE.md guide for Claude Code users Changes: - Updated default model configuration with fallback note - Increased default max_tokens to 8192 for better responses - Added CodeAnalysisRequest model for structured code analysis - Implemented file reading with proper error handling - Added token estimation (~4 chars per token) - Created comprehensive test suite for new features This update makes the server ideal for handling large files that exceed Claude's token limits, enabling seamless handoff to Gemini for extended analysis and thinking. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
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README.md
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# Gemini MCP Server
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A Model Context Protocol (MCP) server that enables integration with Google's Gemini models, including Gemini 1.5 Pro and Gemini 2.5 Pro preview.
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A Model Context Protocol (MCP) server that enables integration with Google's Gemini models, optimized for Gemini 2.5 Pro Preview with 1M token context window.
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## Features
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- **Chat with Gemini**: Send prompts to any available Gemini model
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- **Chat with Gemini**: Send prompts to Gemini 2.5 Pro Preview by default
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- **Analyze Code**: Process large codebases with Gemini's 1M token context window
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- **File Reading**: Automatically read and analyze multiple files
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- **List Models**: View all available Gemini models
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- **Configurable Parameters**: Adjust temperature, max tokens, and model selection
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- **System Prompts**: Support for system prompts to set context
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Parameters:
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- `prompt` (required): The prompt to send to Gemini
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- `system_prompt` (optional): System prompt for context
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- `max_tokens` (optional): Maximum tokens in response (default: 4096)
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- `max_tokens` (optional): Maximum tokens in response (default: 8192)
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- `temperature` (optional): Temperature for randomness 0-1 (default: 0.7)
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- `model` (optional): Model to use (default: gemini-1.5-pro-latest)
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- `model` (optional): Model to use (default: gemini-2.5-pro-preview-06-05)
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Available models include:
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- `gemini-1.5-pro-latest` - Latest stable Gemini 1.5 Pro
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- `gemini-1.5-flash` - Fast Gemini 1.5 Flash model
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- `gemini-2.5-pro-preview-06-05` - Gemini 2.5 Pro preview (may have restrictions)
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- `gemini-2.0-flash` - Gemini 2.0 Flash
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- And many more (use `list_models` to see all available)
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### analyze_code
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Analyze code files or snippets with Gemini's massive context window. Perfect for when Claude hits token limits.
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Parameters:
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- `files` (optional): List of file paths to analyze
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- `code` (optional): Direct code content to analyze
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- `question` (required): Question or analysis request about the code
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- `system_prompt` (optional): System prompt for context
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- `max_tokens` (optional): Maximum tokens in response (default: 8192)
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- `temperature` (optional): Temperature for randomness 0-1 (default: 0.3 for code)
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- `model` (optional): Model to use (default: gemini-2.5-pro-preview-06-05)
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Note: You must provide either `files` or `code` (or both).
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### list_models
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List all available Gemini models that support content generation.
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## Usage Examples
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### From Claude Code
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When working with large files in Claude Code, you can use the Gemini server like this:
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1. **Analyze a large file**:
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```
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Use the gemini tool to analyze this file: /path/to/large/file.py
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Question: What are the main design patterns used in this code?
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```
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2. **Analyze multiple files**:
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```
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Use gemini to analyze these files together:
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- /path/to/file1.py
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- /path/to/file2.py
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- /path/to/file3.py
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Question: How do these components interact with each other?
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```
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3. **Extended thinking with Gemini**:
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When Claude hits token limits, you can pass the entire context to Gemini for analysis.
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## Models
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The server defaults to `gemini-2.5-pro-preview-06-05` which supports:
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- 1 million token context window
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- Advanced reasoning capabilities
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- Code understanding and analysis
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Other available models:
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- `gemini-1.5-pro-latest` - Stable Gemini 1.5 Pro
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- `gemini-1.5-flash` - Fast Gemini 1.5 Flash model
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- `gemini-2.0-flash` - Gemini 2.0 Flash
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- And many more (use `list_models` to see all available)
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## Requirements
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- Python 3.8+
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@@ -89,4 +135,12 @@ List all available Gemini models that support content generation.
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- The Gemini 2.5 Pro preview models may have safety restrictions that block certain prompts
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- If a model returns a blocked response, the server will indicate the finish reason
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- For most reliable results, use `gemini-1.5-pro-latest` or `gemini-1.5-flash`
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- The server estimates tokens as ~4 characters per token
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- Maximum context window is 1 million tokens (~4 million characters)
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## Tips for Claude Code Users
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1. When Claude says a file is too large, use the `analyze_code` tool with the file path
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2. For architectural questions spanning multiple files, pass all relevant files to `analyze_code`
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3. Use lower temperatures (0.1-0.3) for code analysis and higher (0.7-0.9) for creative tasks
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4. The default model (2.5 Pro Preview) is optimized for large context understanding
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